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Quantum Simulation of Dissipative Processes without Reservoir Engineering
We present a quantum algorithm to simulate general finite dimensional Lindblad master equations without the requirement of engineering the system-environment interactions. The proposed method is able to simulate both Markovian and non-Markovian quantum dynamics. It consists in the quantum computatio...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4448689/ https://www.ncbi.nlm.nih.gov/pubmed/26024437 http://dx.doi.org/10.1038/srep09981 |
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author | Di Candia, R. Pedernales, J. S. del Campo, A. Solano, E. Casanova, J. |
author_facet | Di Candia, R. Pedernales, J. S. del Campo, A. Solano, E. Casanova, J. |
author_sort | Di Candia, R. |
collection | PubMed |
description | We present a quantum algorithm to simulate general finite dimensional Lindblad master equations without the requirement of engineering the system-environment interactions. The proposed method is able to simulate both Markovian and non-Markovian quantum dynamics. It consists in the quantum computation of the dissipative corrections to the unitary evolution of the system of interest, via the reconstruction of the response functions associated with the Lindblad operators. Our approach is equally applicable to dynamics generated by effectively non-Hermitian Hamiltonians. We confirm the quality of our method providing specific error bounds that quantify its accuracy. |
format | Online Article Text |
id | pubmed-4448689 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-44486892015-06-10 Quantum Simulation of Dissipative Processes without Reservoir Engineering Di Candia, R. Pedernales, J. S. del Campo, A. Solano, E. Casanova, J. Sci Rep Article We present a quantum algorithm to simulate general finite dimensional Lindblad master equations without the requirement of engineering the system-environment interactions. The proposed method is able to simulate both Markovian and non-Markovian quantum dynamics. It consists in the quantum computation of the dissipative corrections to the unitary evolution of the system of interest, via the reconstruction of the response functions associated with the Lindblad operators. Our approach is equally applicable to dynamics generated by effectively non-Hermitian Hamiltonians. We confirm the quality of our method providing specific error bounds that quantify its accuracy. Nature Publishing Group 2015-05-29 /pmc/articles/PMC4448689/ /pubmed/26024437 http://dx.doi.org/10.1038/srep09981 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Di Candia, R. Pedernales, J. S. del Campo, A. Solano, E. Casanova, J. Quantum Simulation of Dissipative Processes without Reservoir Engineering |
title | Quantum Simulation of Dissipative Processes without Reservoir Engineering |
title_full | Quantum Simulation of Dissipative Processes without Reservoir Engineering |
title_fullStr | Quantum Simulation of Dissipative Processes without Reservoir Engineering |
title_full_unstemmed | Quantum Simulation of Dissipative Processes without Reservoir Engineering |
title_short | Quantum Simulation of Dissipative Processes without Reservoir Engineering |
title_sort | quantum simulation of dissipative processes without reservoir engineering |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4448689/ https://www.ncbi.nlm.nih.gov/pubmed/26024437 http://dx.doi.org/10.1038/srep09981 |
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